Simplifying the latest STEM breakthroughs for all.
Highlights: Introduces GSWorld, a closed-loop photo-realistic simulator for robotic manipulation. Combines 3D Gaussian Splatting with physics engines to bridge the sim2real gap. Proposes the new GSDF (Gaussian Scene Description File)…
Highlights: A complete classification of long-refinement graphs up to degree 4 has been achieved. Findings confirm that the theoretical upper bound of Colour Refinement iterations is tight. Research extends earlier…
Highlights: Introduces a radar-camera fused Multi-Object Tracking (MOT) system with online calibration. Positions radar as a primary sensor rather than a supplementary one in sensor fusion tasks. Uses common features…
Highlights: Comprehensive tutorial on experimental methods for trapping and manipulating ultracold atoms. Details laser cooling, magnetic and optical traps, and high-precision measurement techniques. Introduces newcomers to foundational methods in quantum…
Highlights: Researchers propose a new training-free framework named Speculative Verdict (SV) for complex visual reasoning tasks. SV uses small ‘draft’ models and a large ‘verdict’ model to combine efficiency with…
Highlights: BadGraph introduces a new class of backdoor attacks on latent diffusion models for text-guided graph generation. The method uses textual triggers to implant hidden vulnerabilities during model training. Experiments…
Highlights: Introduces GSWorld: a closed-loop, photo-realistic robotics simulation framework. Combines 3D Gaussian Splatting with advanced physics engines for accuracy and realism. Includes the new GSDF (Gaussian Scene Description File) for…
Highlights: New research identifies and categorizes the causes of the reality gap in robotics. Techniques such as domain randomization and sim-real co-training have shown success in sim-to-real transfer. The study…
Highlights: Integration of AI-powered Digital Twins for next-generation 5G and 6G networks. Utilizes Long Short-Term Memory (LSTM) neural networks for predictive traffic management. Enhances network scalability, resilience, and real-time resource…
Highlights: Introduces ARGenSeg, a new autoregressive generation-based framework for image segmentation. Unifies multimodal understanding and pixel-level perception within a single model. Eliminates task-specific segmentation heads through generative modeling of image…